class_docstr: Testing suite for Bark - tests all the tests defined in `BetterTransformersTestMixin`
  Since `Bark` is a text-to-speech model, it is preferrable
  to define its own testing class.
code: def prepare_inputs_for_class(
      self, model_id, model_type, batch_size=1, **kwargs
  ):
      if batch_size == 1:
          texts = ["a dummy input yeah!"]
      else:
          texts = ["a dummy input yeah!"] + ["and two"] * (
              batch_size - 1
          )
  
      processor = AutoProcessor.from_pretrained(model_id)
  
      input_dict = processor(texts, **kwargs)
  
      return input_dict
  
imports: import unittest
  import numpy
  import pytest
  import torch
  from parameterized import parameterized
  from testing_utils import MODELS_DICT, BetterTransformersTestMixin
  from transformers import AutoModel, AutoProcessor, set_seed
  from optimum.bettertransformer import BetterTransformer
  from optimum.utils.testing_utils import grid_parameters, require_torch_gpu
label_desc: Use image node_id 1 for calling the BetterTransformersBarkTest obj's underlying member method code with example usage: obj.prepare_inputs_for_class(model_id, model_type, batch_size) and returns: input_dict